318 Technology Management Jobs in Bangalore (Bengaluru) | Technology Management Job openings in Bangalore (Bengaluru)

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

Greetings from Skoegle IoT Innovations Pvt Ltd 

Job Summary

We are looking for an experienced Embedded Firmware Engineer with expertise in embedded systems, firmware architecture, RTOS, and embedded software development for IoT, wearable, automotive, industrial, and medical-grade products.

Key Responsibilities

• Design, develop, debug, and maintain firmware in C, C++, and Embedded C.

• Develop firmware for ESP32, nRF52832/52840, ATmega328P, and Raspberry Pi platforms.

• Integrate sensors using I2C, SPI, UART, ADC, GPIO, PWM, CAN, and USB.

• Develop RTOS and bare-metal firmware.

• Implement BLE, GSM/4G, GPS/GNSS, LoRa, Wi-Fi, NFC/RFID communication.

• Design bootloaders, OTA updates, and secure firmware upgrades.

• Optimize power consumption, sleep modes, memory allocation, and performance.

• Develop sensor drivers, calibration routines, and medical-grade firmware.

• Program bare ICs and support PCB bring-up, pin selection, and hardware validation.

• Support HTTP/HTTPS GET/POST/PUT APIs and embedded networking.

Required Skills

• Embedded Systems and Embedded Software Development

• C, C++, Embedded C

• RTOS, Bare-Metal Programming

• Operating Systems fundamentals

• I2C, SPI, UART, Digital & Analog Signals

• Sensor Integration

• Arduino IDE, VS Code, SEGGER Embedded Studio, J-Link

• ESP32 Series, nRF52832/52840, ATmega328P, Raspberry Pi

• BLE (UUIDs), GSM (band configuration), GPS, LoRa

• Python, HTML, HTTP/HTTPS

• Bootloader Development, OTA, Power Optimization

• Memory Allocation, Sleep Modes, Sensor Calibration

• Machine Learning on Embedded Systems (preferred)

Job Description – DevOps + Python

Job Title: DevOps + Python Developer

Experience: 4–10 Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

• Python
• Kubernetes
• Containerization
• DevOps
• Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)

Job Description

We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.

The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.

Key Responsibilities

• Develop and maintain applications/scripts using Python.
• Work with Kubernetes and containerized environments.
• Support DevOps processes and automation.
• Work with cloud platforms and cloud-based environments.
• Collaborate with development and infrastructure teams.
• Troubleshoot and resolve deployment and environment-related issues.

Position: Visual Builder

Experience: 4–8 Years

Job Type: Contract

Job Description

We are looking for a skilled Visual Builder Developer responsible for designing, developing, and deploying modern UI/UX components for Oracle Fusion Cloud ERP using Oracle Visual Builder Studio (VBS).

The candidate will work on the complete lifecycle of Redwood extensions, including low-code Express Mode configurations and complex Advanced Mode customizations.

Key Responsibilities

• Develop and extend Oracle-delivered Redwood pages using Oracle Visual Builder Studio (VBS).
• Work on both Express Mode (App Extensions) and Advanced Mode customizations.
• Utilize Oracle JET, Crayons Design System, Business Objects, and Service Connections.
• Configure VBS Projects, Environments, Workspaces, and deployment pipelines.
• Integrate REST APIs and Oracle Integration Cloud (OIC) services with VBS components.
• Manage user roles, access controls, and sandbox management within Oracle Cloud ERP.
• Use Git-based version control and CI/CD practices for deployments.

Job Description

We are looking for an experienced Workday Core HCM Consultant with strong hands-on experience in Workday HCM configuration, business processes, reporting, and employee lifecycle management.

Key Responsibilities

• Configure and support Workday Core HCM modules and business processes.
• Manage Worker Data, Job & Position Management, Supervisory Organizations, Locations, and Cost Centers.
• Configure end-to-end business processes including Hire, Onboarding, Job Change, Transfer, Promotion, and Termination.
• Work on Compensation, Benefits, Time & Absence, and Recruiting modules.
• Develop and maintain Custom Reports, Advanced/Matrix Reports, Calculated Fields, Dashboards, and Workday Analytics.
• Configure and maintain Workday security, security groups, roles, and domain permissions.
• Gather business requirements and translate them into Workday configuration solutions.
• Troubleshoot production issues and provide ongoing Workday support and enhancements.
• Collaborate with HR, functional, technical, and integration teams.
• Prepare functional/technical documentation and support testing and deployment activities.

Mandatory Skills

• Strong hands-on experience in Workday Core HCM.
• Workday HCM configuration and business process experience.
• Worker Data, Job/Position Management, Organizations, and Employee Lifecycle.
• Workday Reporting and Calculated Fields.
• Experience with Workday Security and role-based access.
• Good understanding of HR processes and Workday HCM architecture.

Good to Have

• Workday EIB, Studio, Core Connectors or other integration experience.
• Experience with Benefits, Recruiting, Compensation, Time & Absence.
• Workday certification is preferred.
• Experience in production support and enhancement projects.

Experience

5+ years of relevant Workday experience

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

Bachelor’s degree in Engineering, Computer Science, or a related discipline

• 8+ years of experience in project or programme management

• 3+ years of experience delivering AI, Machine Learning, Data, or Analytics programmes

• PMP, Agile, Scrum, or equivalent certification preferred

Key Responsibilities

Administer, monitor, and support database platforms including Couchbase, PostgreSQL, and Oracle.

Perform database performance tuning, optimization, and troubleshooting.

Write and optimize complex SQL queries, stored procedures, and scripts.

Ensure database availability, reliability, backup, recovery, and security compliance.

Support production incidents, root cause analysis, and ongoing operational improvements.

Collaborate with application, infrastructure, and support teams to resolve database-related issues.

Required Skills

5 to 10 years of hands-on experience in Database Administration.

Strong experience with Couchbase, PostgreSQL, and/or Oracle databases.

Expertise in performance tuning, query optimization, indexing, and SQL development (Complex Queries, Stored Procedures, Scripts)

Experience with database monitoring, backup, recovery, and maintenance activities.

Production Support, Troubleshooting & RCA

Strong analytical and troubleshooting skills.

Nice to Have

Experience with cloud platforms such as AWS, Azure, or GCP.

Exposure to database automation and scripting

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

The Opportunity 

We are building the next generation of engineers at AvancerPI. You will work on real enterprise products and automation rather than isolated training assignments. Depending on your strengths, you may contribute to frontend, backend, APIs, automation, integrations, cloud-native engineering or AI-assisted capabilities. 

What You’ll Work On 

• Modern web applications and customer-facing product experiences. 
• Backend services and REST APIs. 
• Python-based automation and platform integrations. 
• Databases, data models and application state. 
• Terraform and Ansible based infrastructure automation. 
• Containers and Kubernetes-based applications. 
• Integration with enterprise infrastructure and cloud APIs. 
• AI/LLM, RAG and agentic workflows where they solve a real product or operational problem. 
• Testing, debugging, Git workflows and CI/CD. 
• Product features used by enterprise customers and internal engineering teams. 

What We’re Looking For 

• BE/BTech/MCA or equivalent technical education. 
• Strong programming fundamentals and problem-solving ability. 
• Working knowledge of at least one language such as Python, JavaScript/TypeScript, Java or similar. 
• Basic understanding of APIs, databases, Git and Linux. 
• Curiosity about cloud, infrastructure, automation, Kubernetes and AI. 
• Ability to learn unfamiliar technologies independently and ask good technical questions. 
• Evidence that you build things: academic projects, GitHub work, internships, hackathons or personal projects. 

What Matters More Than a Long Skills List 

Fundamentals + curiosity + learning speed + ownership + ability to turn an idea into working software. 

What You Can Expect to Learn 

• How enterprise products are designed, built, tested and released. 
• How software interacts with infrastructure, cloud and Kubernetes platforms. 
• How to write maintainable code and participate in design/code reviews. 
• How customer problems become product requirements and engineering decisions. 

For more information about the company, you can visit our website: https://avancerpi.com/about/

Sr. Technology Architect

Experience Range: 12–15+ years of IT experience, including 3–5+ years in leadership / people management roles.

Location: Chennai, Hyderabad, Bangalore

Qualification: B. Tech /B.E in computer science or equivalent

Minimum 10+ years of experience in Advanced Java

At least 2+ years of experience for the following areas:

• Lead and mentor full-stack development teams across multiple projects and workstreams.
• Define technical architecture, coding standards, and development best practices.
• Drive end-to-end delivery of enterprise applications using Agile methodologies.
• Oversee application design, development, testing, deployment, and production support.
• Ensure adherence to security, performance, quality, and compliance standards.
• Collaborate with clients, product owners, architects, and cross-functional teams.
• Manage resource planning, risk mitigation, technical reviews, and stakeholder communication.
• Promote DevOps, CI/CD, and automation practices to improve delivery efficiency

Must Haves-

• Strong experience in Java Full Stack Development.
• Expertise in Spring Boot and Microservices Architecture.
• Proficiency in Python, Shell Scripting, and backend development.
• Hands-on experience with SQL, Oracle, and PostgreSQL databases.
• Front-end expertise in React, Angular, HTML5, CSS3, Bootstrap, and JSP.
• Experience with Kafka or similar event-driven messaging platforms.
• Strong understanding of API Design, REST Services, and Swagger/OpenAPI.
• Experience implementing security frameworks including OAuth 2.0.
• Hands-on expertise with Jenkins, CI/CD pipelines, and DevOps practices.
• Experience with code quality and security tools such as SonarQube and Fortify.
• Proven people management, stakeholder management, and delivery leadership experience.
• Experience working in Agile/Scrum environments.

Good to Haves-

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes/OpenShift.
• Experience with performance tuning, observability, and application monitoring tools.
• Telecom, OSS/BSS, or enterprise digital transformation domain experience.
• SAFe Agile, PMP, Scrum Master, or cloud certifications.
• Exposure to AI-assisted development tools and engineering productivity platforms.

Technical Project Manager.

Run delivery for 15–25 backend, frontend, and AI engineers building construction

tech and CAD drawing-automation software — with structural engineers on one

side of you and the codebase on the other.

FULL-TIME

MANAGER · 7+ YRS

Engineering — Delivery & Program Management

TEAM YOU’LL RUN

15–25 engineers · Backend · Frontend · AI

LOCATION

India

EXPERIENCE

6–7 yrs min · 4+ yrs managing engineers

WORK MODE 

Hybrid

DOMAIN

ENGAGEMENT

AEC · CAD / BIM automation · Multi-tenant SaaS

About BuildTwin

BuildTwin is a multi-tenant SaaS platform that runs the day-to-day operations of construction

and infrastructure companies — their workforce, projects, commercials, and documents — on a

single system. Alongside it we build an AI drawing-automation platform that turns structured

element data into production-ready technical drawings and exports them to PDF and DXF.

Both products are built by a small, senior engineering group in India: backend engineers on an

AWS serverless platform, frontend engineers on Angular and React, and AI engineers working

on drawing generation and data extraction. Sitting next to them — not in another building, not

in another timezone — are the structural and detailing engineers who define what a correct

drawing actually is.

That adjacency is our biggest advantage and our hardest coordination problem. This role exists

to make it work.

 Role overview

We are hiring one Technical Project Manager to own delivery across our engineering teams in

Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and

you will be the person who turns requirements originating with our structural and detailing

engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards

across it. You will sit in the design discussion and have a view on how and when — you will

push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write

production code. You are expected to read it, understand the system, and never be the least

informed person in a technical conversation you are chairing.

The centre of gravity of this job is the floor, not the calendar. Most of your day is

spent with the people building and the people specifying — closing the gap between what a

domain expert means and what an engineer can implement deterministically. Status

reporting is a by-product of doing that well, not the job itself.

What you’ll own.

 Delivery ownership

Own the end-to-end delivery plan for every active workstream — scope, sequence,

dependencies, capacity, and dates that actually hold.

Break large, ambiguous product intent into engineering-sized increments with explicit

acceptance criteria, agreed with the people who will build them.

Run the operating cadence: planning, standups, refinement, demos, and retrospectives that

change something the following week.

Maintain one honest view of status — on track, at risk, slipped, and why — visible to the

founders and to the team at the same time.

Manage cross-team dependencies between backend, frontend, AI, and drawing-automation

workstreams so no team idles waiting on another.

Surface risk early, quantify it, and arrive with options — never an escalation without a

proposal.

Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not

now when a plan cannot take more.

Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post

release verification included.

Own and improve the delivery metrics that matter: cycle time, predictability of committed

scope, defect escape rate, and rework.

Run the release calendar across two products so neither becomes the permanent second

priority.

Technical partnership

Participate substantively in technical discussions on design, sequencing, and trade-offs —

and hold your own with senior engineers.

Understand the architecture well enough to reason about blast radius: what a schema

change touches, why a migration is risky, why an API contract must be agreed before two

teams start.

Challenge estimates that look wrong in either direction, and recognise when an estimate is

uncertain because the problem is still unclear.

Translate technical constraints into decisions leadership can act on, and business constraints

into direction engineers can act on.

Keep testing, observability, and debt-reduction work on the plan instead of losing to features

every single quarter.

Insist that decisions get written down — architecture choices, drawing rules, API contracts,

and the reasoning behind each.

Stay close to the artefacts: read the tickets, the design docs, the PR titles, and the incident

write-ups.

Chair technical discussions where the outcome is a decision with an owner and a date, not a

longer discussion.

Role Overview

We are looking for an experienced MEP Site Engineer to supervise and coordinate MEP works for corporate and commercial interior projects.

Key Responsibilities

• Supervise MEP installation and execution at project sites.
• Coordinate electrical, HVAC, plumbing, fire-fighting, and other MEP services.
• Review MEP drawings and ensure proper site execution.
• Coordinate with MEP consultants, contractors, vendors, and other project teams.
• Monitor site progress and ensure work is completed as per schedule.
• Inspect the quality of MEP installations.
• Identify and resolve technical and site coordination issues.
• Coordinate MEP works with civil and interior activities.
• Conduct site inspections and measurements.
• Prepare daily/weekly progress reports.
• Ensure compliance with project specifications and safety requirements.

Required Skills

• Strong knowledge of MEP services and site execution.
• Ability to read and understand MEP drawings.
• Good knowledge of electrical/HVAC/plumbing/fire-fighting works.
• Strong coordination and communication skills.
• Experience in corporate/commercial interior projects is preferred. 

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Delinea PAM Engineer position with NAM Info.

This role will be permanent with NAM info and deploy to client location Chennai / PAN India.

Work Mode: WORK FROM OFFICE

Offer salary can offer on a decent hike

Role Descriptions:

Operations & Service Delivery

• Deploy and Configure Delinea Components: Install, configure, and maintain Delinea Secret Server, Server Suite, Privilege Manager, Distributed engine, rabbit MQ, DevOps Secrets Vault, and Just Enough Privilege (JEP) modules in on-premises and later for cloud environments.
• Integrations with IT Infrastructure and endpoints: Integrate Delinea solutions with Active Directory, SIEM systems, ticketing tools, databases, ServiceNow, and network devices to protect Windows / LINUX OS, database and application connectors.
• Scripting & Automation: PowerShell for automation and reporting, Python for API Integrations and workflows, REST API usage for PAM operations
• Maintenance: Test, validate and deploy fixes, patches, upgrades, and ensure break glass and disaster recovery readiness. Ensure backup and restore capabilities based on Veeam.
• Capacity: Monitor performance, tune resources (CPU, memory, disk) and ensure high availability and capacity management.
• Security: Design and implement security baseline and ensure compliance to several regulatory frameworks, such as PCI-DSS, SWIFT, FINMA, SNB in adherence of the Microsoft ESAE principles.
• Observability: Implement and operate the monitoring for health and performance (operational and security) and Session & Monitoring Controls for privileged session monitoring, recording, and behavioural alerting to support Zero Trust practices
• Support: Provide Tier 2/3 troubleshooting, resolve escalated incidents, be part of the on call support 7/24 organization.
• Collaboration: Collaborate with cross-functional teams and business units
• Documentation: Keep documentation up to date, maintain system configs, runbooks, operations manuals.

Desire candidate

• Candidate should have valid PF.

Regards,

NAM Info 

We are looking for an experienced VDI Engineer to design, implement, manage, and optimize enterprise Virtual Desktop Infrastructure (VDI) solutions. The ideal candidate will have strong expertise in Azure Virtual Desktop (AVD), Citrix Virtual Apps & Desktops/Citrix DaaS, and Windows 365 (Cloud PC). The role involves delivering secure, scalable, and high-performing virtual desktop environments while ensuring excellent end-user experience and operational efficiency./

Key Responsibilities

• Design, deploy, and administer Azure Virtual Desktop (AVD), Citrix Virtual Apps & Desktops/Citrix DaaS, and Windows 365 environments.
• Configure and manage host pools, workspaces, application groups, and session hosts.
• Design and support pooled and personal desktop deployments based on business requirements.
• Build, maintain, and optimize golden images using Azure Compute Gallery.
• Perform session host sizing, capacity planning, concurrency modeling, and performance tuning.
• Manage FSLogix profiles, Azure Files, and storage solutions for user profile management.
• Monitor VDI infrastructure using Azure Monitor and Log Analytics to ensure high availability and performance.
• Implement Azure best practices including Resource Groups, RBAC, Azure Policies, and VM management.
• Package, deploy, and troubleshoot applications for multi-session VDI environments.
• Support application compatibility testing across VDI and physical desktop environments.
• Deliver and support both RemoteApp and full desktop virtualization solutions.
• Collaborate with infrastructure, networking, security, and application teams to ensure seamless service delivery.
• Troubleshoot complex VDI issues and perform root cause analysis to improve platform stability.
• Create and maintain technical documentation, operational procedures, and architecture documents.

Required Skills

• Strong experience with Azure Virtual Desktop (AVD)
• Hands-on experience with Citrix Virtual Apps & Desktops / Citrix DaaS
• Experience with Windows 365 (Cloud PC)
• Expertise in RemoteApp and Full Desktop delivery models
• Strong understanding of Multi-session and Personal Desktop architectures
• Experience with Host Pool design and management
• Expertise in Azure Compute Gallery and Golden Image management
• Hands-on experience with FSLogix, Azure Files, and profile management
• Experience with Azure Virtual Machines, scaling, availability, and performance optimization
• Knowledge of Azure Monitor, Log Analytics, Azure Resource Groups, RBAC, and Azure Policies
• Experience with Intune application packaging and deployment
• Strong understanding of application packaging and compatibility testing in VDI environments
• Knowledge of capacity planning, performance tuning, and virtualization best practices

Preferred Skills

• Experience with PowerShell automation for VDI administration.
• Knowledge of Microsoft Intune and Endpoint Management.
• Understanding of Azure networking, identity, and security services.
• Experience working in enterprise-scale VDI environments.
• Relevant Microsoft Azure and Citrix certifications are an added advantage.

SAP APO SNP Experience in SAP APO Supply Network Planning/SNP. Experience in Supply Chain Planning Concepts, Processes and supporting of the Core Interface (CIF), Supply Network Planning (SNP) and good understanding on Demand Planning (DP) 

What You Bring • Bachelor’s degree in computer science, Software Engineering, or related field with 7+ years of relevant professional experience. • Deep production experience with Python and JavaScript/TypeScript across backend and frontend, with demonstrated ability to work comfortably across the full stack. • Strong experience with modern frontend frameworks (such as Next.js or React) and backend API development. • Extensive experience with cloud platforms (AWS preferred; Azure or GCP also valued), including infrastructure-as-code tools (such as CloudFormation or Terraform). • Deep Working knowledge of multiple database paradigms, including relational databases (such as PostgreSQL), document databases, and key-value stores (such as Redis), with the ability to select the right storage technology for each problem. • Strong experience with CI/CD pipelines (such as GitHub Actions), containerisation, and production deployment strategies. • Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on AI-augmented development practices. • Hands-on experience architecting production generative AI applications (LLM integrations, vector databases, RAG systems, evaluation pipelines) is essential. • Experience leading technical initiatives across multiple teams, mentoring engineers, and establishing engineering practices is required. • Experience navigating ambiguous problem spaces, working directly with business stakeholders and end users, and shipping working solutions rapidly is required. • Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus. • Must have exceptional communication skills and demonstrated ability to influence at senior levels. This role requires comfort leading across ambiguous environments, building trust-based relationships with commercial stakeholders at all levels, developing junior and mid-level engineers, and making strategic decisions that balance delivery speed with architectural integrity. You will shape engineering practices across your area and be expected to lead multi-team initiatives.  

Checkpoint and Cisco Nexus( Routing & switching )

Strong exp are mandatory along with Cisco ISE

For the open Checkpoint SME position, we are looking for a candidate with L3/SME-level experience in the following technologies:

Checkpoint Firewall-must

Cisco ISE- must

Cisco Nexus (Routing & Switching)-must

Must should have strong exp and current using

Good to have:

Cisco Meraki

Cisco NDFC

Principal Architect.

Architecture: Microservices, Event-Driven, Serverless, Service Mesh, Multi-tenancy, API Gateway.

DevOps/IaC: Terraform, Kubernetes (EKS/AKS/GKE), Helm, Jenkins/GitHub Actions, ArgoCD, MLOps.

Monitoring/Performance: OpenTelemetry, Datadog/New Relic, Chaos Engineering, Load Testing (k6/JMeter).

Networking/Security: VPC, Zero Trust, IAM, WAF, OAuth2/OIDC, DevSecOps.

Role Summary

We are looking for a Bengaluru-based Technical Program Manager (6+ years) to lead enterprise API and cloud integrations from pre-sales technical discussions through to successful deployment. This role acts as the primary technical bridge between our backend engineering teams and enterprise clients, managing complex system workflows, risk mitigation, and UAT without requiring active coding.

What You Will Do

• Own Integrations: Drive end-to-end integration lifecycles, API rollouts, and SDK deployments for large enterprise clients.
• Client Tech Partner: Act as the single point of contact for client technical queries, system configurations, and project escalations.
• Cross-functional Alignment: Collaborate closely with Product, Sales, and Backend Engineering teams to design technical solutions based on client use cases.
• Risk & Testing: Proactively troubleshoot integration blockers and oversee User Acceptance Testing (UAT) activities to ensure smooth production go-live.
• Team Mentor: Provide guidance and process structure to junior team members.

Requirements

• 6+ years of proven experience in Technical Project or Program Management handling enterprise SaaS, APIs, or SDK environments.
• Hands-on familiarity with Cloud platforms, REST APIs, JSON, and XML.
• Strong understanding of Agile/Scrum methodologies, software development lifecycles (SDLC), and system architecture principles.
• Excellent stakeholder management skills with experience presenting technical concepts to external business clients.
• Must be currently located in or ready to work onsite/hybrid in Bengaluru.

Junior Firmware / Hardware Engineer

Team: Smart Devices 

Location: Bangalore. On-site

Experience: 0–2 years

About the role

We design and build connected hardware devices; that run in thousands of homes and gated communities. This role sits right at the boundary of hardware and firmware: you'll help take boards from schematic to bring-up to shipping firmware, working alongside senior engineers, ODM/vendor partners, and the cloud and mobile teams.

It's a hands-on role for someone early in their career who's genuinely excited about embedded systems; equally happy with a soldering iron and a debugger.

What you'll do

• Design and lay out PCBs; schematic capture, component selection, multi-layer layout, and BOM prep under the guidance of senior engineers
• Bring up new boards: power-on checks, debugging hardware faults, and validating peripherals
• Write and debug firmware for microcontrollers and embedded Linux SoCs (drivers, peripheral integration, application logic)
• Work with communication interfaces such as UART, I2C, SPI, BLE, and Wi-Fi/MQTT
• Read datasheets and reference designs and translate them into working hardware and code
• Support hardware validation through EVT/DVT/PVT stages and collaborate with manufacturing partners
• Document designs, test results, and known issues clearly

What we're looking for

• BE/BTech in Electronics, Electrical, ECE, or a related field
• 0–2 years of experience, or strong academic/personal projects in embedded systems
• Working knowledge of embedded C (C++ is a plus)
• Hands-on experience with a PCB design tool (KiCad, Altium, Eagle, or similar) at least at a coursework or side-project level
• Solid grasp of electronics fundamentals: digital and analog circuits, microcontrollers, power basics, and an introduction to signal integrity
• Comfortable reading schematics and datasheets
• Familiarity with common interfaces (UART, I2C, SPI, GPIO)
• Curiosity, attention to detail, and a genuine willingness to learn quickly

Nice to have (not required)

• Exposure to ESP32 / STM32, an RTOS (e.g. FreeRTOS), or embedded Linux
• Experience with version control (Git)
• Familiarity with wireless protocols (BLE, Wi-Fi) or IoT cloud connectivity (MQTT)
• A hardware project you've built end-to-end we'd love to see it
• Basic Python for scripting and bench/test automation

Why join

• Own real hardware that ships to real users
• Learn the full product lifecycle concept, schematic, layout, firmware, manufacturing directly from senior engineers
• Join a small, high-ownership team where your work has visible impact

Job Title : Technical Program Manager (TPM)

Experience : 6+ Years

Location : Bangalore (Work From Office)

Travel : Twice a month to Chennai

Notice Period : Immediate to 15 Days

Language : Tamil preferred (knowledge of at least one regional language is mandatory)

Job Summary :

We are looking for a technically strong Technical Program Manager (TPM) with a Software Development or QA/Testing background to lead enterprise integrations and implementation programs. This is a hands-on techno-functional role, where you will own end-to-end project execution, customer communication, technical integrations, and production delivery.

The ideal candidate should have strong experience with REST APIs, Cloud platforms (AWS/Azure/GCP), SaaS products, enterprise integrations, and stakeholder management.

You will act as the single point of contact for customers, working closely with Product, Engineering, QA, and client technical teams to deliver successful implementations.

Mandatory Skills :

Strong Software Development or QA background, Technical Program Management, End-to-End Project Management, REST APIs, Enterprise Integrations, Multi-Tenant Architecture, Cloud Platforms (AWS/Azure/GCP), JSON, XML, SDLC, System Architecture, SaaS/API-driven Applications, Stakeholder Management, Customer Communication, Technical Solutioning, Risk Management, UAT & Production Release Management, Agile/Scrum, and Excellent Communication Skills.

Key Responsibilities :

• Drive end-to-end technical program and enterprise integration delivery.
• Lead requirements gathering, implementation, UAT, production releases, and go-live.
• Manage API integrations, cloud discussions, and multi-tenant implementations.
• Coordinate with Product, Engineering, QA, and enterprise customers.
• Handle project risks, technical escalations, and stakeholder communication.
• Evaluate customer feature requests and recommend product enhancements or custom implementations.
• Ensure timely delivery while balancing customer expectations and product capabilities.

Mandatory Skills :

• 6+ years of experience in Technical Program Management, Project Management, or Solution Delivery.
• Strong Software Development or QA/Testing background.
• Hands-on experience with REST APIs and enterprise integrations.
• Good understanding of JSON, XML, SDLC, system architecture, and SaaS applications.
• Experience with AWS, Azure, or GCP.
• Excellent communication and stakeholder management skills, including interactions with CTOs and senior technical leaders.
• Immediate to 15 days notice period.

Good to Have :

• Experience with FinTech, SaaS, or API-driven products.
• Exposure to Microservices, DevOps, and Agile methodologies.
• PMP, PRINCE2, Scrum, or Cloud certifications.

Who We're Looking For :

• We are not looking for a project coordinator. We need a hands-on Techno-Functional TPM who can understand technical architecture, APIs, cloud platforms, and enterprise integrations while confidently driving customer-facing implementations from planning to production.

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

About Us: We are on a mission to help a million+ consumer brands with automated sales and user acquisition via AI omnichannel stack BusinessOnBot is an omnichannel commerce stack for 500+ Shopify & WooCommerce brands, enabling high-ROI marketing/support across WhatsApp, Instagram, Email, SMS and commerce platforms like Swiggy, Zomato & PhonePe — powered by proprietary shopper intent data from 1/3rd of India’s shoppers (100M unique shoppers).

In 2026, Businessonbot has grown and is an EBITDA +ve company. We are a Y Combinator backed company (YC W21) and have closed our pre-series A round with Ant Financials on the Board. Backed by experienced founders/CXOs/directors from renowned companies like WhatsApp, Lulu group, OYO, Netflix, Pepsico, Cleartax, InMobi etc. to add to our team.

Role 

We're looking for an Head of Technology : who can own the technical health and growth of our backend platform. You'll be part architect, part tech lead, part engineering manager. You won't just review code — you'll set the standard for how code is written, how systems are designed, and how the team thinks about quality, cost, and customer impact. This is not a senior IC role where you write code all day. And it's not a pure management role where you're in meetings all day. It's the balance between the two — the person who makes the team better while staying close enough to the code to make good decisions

What You'll Own

1. System Reliability & Upkeep

• Own the health of a production multi-tenant Node.js/TypeScript backend serving real-time messaging traffic
• Lead incident response, root cause analysis, and post-mortem culture
• Identify and drive reduction of technical debt — proactively, not reactively
• Ensure monitoring, alerting, and observability are in good shape (we use New Relic, Sentry, Pino structured logging)
• Work across multiple backend services and ensure they integrate reliably

2. Scalable, Quality Engineering

• Design and review system architecture decisions — schema changes, service boundaries, async workflows (we use Temporal.io), queue design
• Drive engineering standards: code review culture, PR quality, test coverage, error handling patterns
• Establish and enforce engineering practices that let the team ship fast without accumulating hidden risk
• Evaluate build vs. buy decisions with a clear eye on long-term maintainability

3. Cost Consciousness

• Maintain a clear understanding of infrastructure costs (AWS, third-party APIs, LLM usage, DB compute)
• Actively flag cost anomalies and propose architectural or operational changes to address them
• Balance engineering investment against business return — know when "good enough" is the right call

4. Team Standards & Culture

• Set a high bar for code quality — not pedantry, but clarity, maintainability, and correctness
• Build a review culture where feedback is constructive, specific, and educational
• Help engineers grow by pair debugging, design reviews, and code walkthroughs
• Define and document coding conventions, architecture patterns, and engineering principles that persist beyond any individual

5. Customer Empathy

• Understand that the systems you build serve real D2C businesses who depend on them to communicate with their customers
• Treat reliability issues with the urgency of a customer escalation, not a backlog item
• Stay connected to what support and product teams are seeing from customers — let that shape engineering priorities

6. Communication & Stakeholder Management

• Translate technical complexity into clear, honest language for non-technical co-founders and stakeholders
• Communicate risk, timelines, and tradeoffs clearly — no sugar-coating, no unnecessary alarm
• Manage up: surface the right problems at the right time without waiting to be asked
• Manage expectations — both internally with the team and externally with leadership

7. Balancing Tradeoffs

• Navigate the tension between shipping fast and building right — and be able to articulate why you chose one over the other
• Know when to take on short-term debt and when to push back
• Make architectural decisions that serve the next 18 months, not just the next sprint

What We're Looking For Must Have

• 7–8 years of backend software engineering experience, with at least 2 years in a lead or staff-level role
• Strong command of TypeScript/Node.js in production (our primary stack)
• Deep understanding of multi-tenant SaaS architecture patterns
• Hands-on experience with relational databases (MySQL/PostgreSQL), ORM usage (TypeORM or similar), and writing efficient queries at scale
• Experience designing and operating async/event-driven systems (message queues, workflow engines, or similar)
• Comfort with cloud infrastructure (AWS preferred) and cost/performance monitoring
• Strong pull request review discipline — you know what makes a good review and what makes a bad one

Strong Plus

• Experience with real-time systems (WebSockets, Socket.IO, pub/sub patterns)
• Exposure to LLM integration, RAG pipelines, or AI feature development in production
• Experience with Temporal.io or similar workflow orchestration
• Familiarity with WhatsApp Business API, omnichannel messaging, or e-commerce integrations
• Prior experience at a startup in the 10–100 person range where you had to set standards, not just follow them

What We Don't Need

• Someone who needs a perfectly defined problem before they can start
• A pure IC who avoids people and process
• A pure manager who's lost touch with the code
• Someone who optimises for their own comfort over team outcomes

How You Think

• You ask "why does this fail in production?" before asking "why didn't someone write a test?"
• You think about the developer who reads your code six months from now
• You're bothered by silent failures, swallowed errors, and fire-and-forget async calls
• You believe good documentation and clear naming are not optional extras
• You have opinions on architecture but hold them loosely when presented with better evidence
• You understand that a cost spike is an engineering problem, not just a finance problem
• You treat a customer-facing bug with more urgency than a refactor that only benefits the team

What You'll Walk Into We'll be transparent with you:

• A production codebase with real technical debt alongside genuinely good architecture
• A fast-moving team that ships frequently
• A company that takes reliability seriously but is still building the culture around it
• Multiple backend services that need to be held together with clear ownership and standards
• A product that's expanding into AI agents, voice workflows, and deeper e-commerce automation — meaning the technical surface area is growing fast
• This is a role for someone who thrives in that kind of environment — not someone who needs it to be clean before they can contribute.

What We Offer

• Meaningful ownership — you'll shape how engineering works here, not just execute someone else's vision
• Direct access to founders and product decisions
• Competitive compensation (cash + equity discussion based on profile)
• A product that real businesses depend on every day — your work matters immediately

3DEXPERIENCE on Cloud, ENOVIA, NETVIBES

1) 10+ years of Experience in the PLM Industry, with proficient in 3DExperience Platform

2) Strong Dassault Product knowledge across Dassault Brands (e.g. ENOVIA, DELMIA, NETVIBES) and the 3DEXPERIENCE platform is a required. Both On-Cloud and OnPrem.

3) Customer Requirements collecting, Documenting and management. PLM Use Case and process creations and definition, having excellent understanding of business data and process requirements. Experience in performing PoCs, Demonstrations and scope definition.

4) Good understanding of Different modules and technical Skill with hands on experience on different 3DExperience Brands.

5) Understand master data principles and technical overlaps among digital platforms, from PLM to ERP, MES, SCM, etc

6) Able to deal with complexity and simplify things, develop and maintain a 360 degree "big picture" view of the solution.

7) Good understanding of migration into 3DEXPERIENCE with relevant experience in the same and also on environment setup, data migration strategy and validation.

8) Have in-depth understanding of design patterns, coding and customization languages, middleware and other IT principles and able to interface openly with other IT Architects on such matters.

9) Ability to assess existing technologies and tools, and all technical building blocks.

10) It is an advantage if having experience in a global company with IT, Engineering or Manufacturing and having interest and experience in implementing PLM.

Construction Project Engineer

Job Description

Company: Lyncotek Venture Pvt Ltd

Location: Peenya 2nd Stage, Bangalore

Experience: 0–2 Years

Job Type: Full-Time

Job Summary

We are looking for a Construction Project Engineer to supervise site work and support project execution.

Responsibilities

• Monitor site activities and progress
• Ensure quality and safety compliance
• Coordinate with contractors and vendors
• Prepare site reports and updates
• Assist in project execution

Requirements

• Diploma/BE in Civil Engineering
• 0–2 years of experience preferred
• Technical and communication skills
• Freshers can also apply

Construction Project Manager

Company: Lyncotek Venture Pvt Ltd

Location: Peenya 2nd Stage, Bangalore

Experience: 0–2 Years

Job Type: Full-Time

Job Summary

We are seeking a Construction Project Manager to oversee project execution, site coordination, and project planning.

Responsibilities

• Plan and coordinate project activities
• Monitor project progress and timelines
• Coordinate with site teams and vendors
• Ensure quality and safety standards
• Prepare project reports and documentation

Requirements

• BE/B.Tech or Diploma in Civil Engineering
• 0–2 years of experience preferred
• Good leadership and coordination skills
• Knowledge of construction activities

Job Title: Project Coordinator - Fresher

Job Summary:

We are seeking a motivated and organized Project Coordinator to support on-site civil engineers and assist the site manager with day-to-day project operations. This role is ideal for a fresher looking to gain hands-on experience in civil project execution, coordination, and technical documentation.

Key Responsibilities:

• Assist the project/site manager in planning and execution of project activities.
• Coordinate with different departments and vendors for timely delivery of materials/resources.
• Monitor site progress and update status reports to the management.
• Maintain and update project documentation including daily progress reports, records, and material logs.
• Support quality checks and ensure compliance with safety and operational standards.
• Handle day-to-day queries and follow up on tasks assigned.
• Attend team meetings and prepare meeting notes.
• Assist in scheduling and organizing project-related events or reviews.
• Support the Site Manager in planning and monitoring project schedules, milestones, and deliverables.
• Help in preparing drawings, quantity take-offs, and site layout plans using tools like AutoCAD & other.
• Assist in ensuring safety standards and compliance with company policies on-site.
• Coordinate material receipts and inventory with procurement and store teams.

Required Skills:

• Excellent communication and interpersonal skills.
• Familiarity with AutoCAD or other civil drafting tools (basic knowledge required).
• Proficiency in MS Office (Word, Excel, PowerPoint).
• Ability to multitask and work in a team environment.
• Strong organizational and time-management abilities.
• Basic understanding of project management concepts.

Job description:

Job Summary

We are looking for an experienced Network Security Engineer with strong expertise in

firewall management, VPNs, and enterprise networking. The ideal candidate should have

hands-on experience with Palo Alto and Sophos firewalls, along with solid knowledge of

HPE Aruba switching and routing, to ensure secure and reliable network infrastructure.

Key Responsibilities

• Design, implement, and manage network security infrastructure
• Configure and maintain Palo Alto and Sophos firewalls
• Set up and manage VPNs (IPSec, SSL VPN, site-to-site, remote access)
• Monitor and respond to security incidents, threats, and vulnerabilities
• Implement and maintain network access control and segmentation
• Configure and troubleshoot HPE Aruba switches and routing protocols
• Manage VLANs, ACLs, NAT, and firewall policies
• Perform network performance monitoring and optimization
• Conduct periodic security audits, patching, and compliance checks
• Collaborate with Internal teams for secure infrastructure design
• Maintain documentation for configurations and security policies

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, or B.Tech (or equivalent)
• 4–6 years of experience in network security and administration
• Hands-on experience with Palo Alto and Sophos firewalls
• Strong understanding of VPN technologies (IPSec, SSL, site-to-site)
• Experience with HPE Aruba switching and routing
• Solid knowledge of networking fundamentals (TCP/IP, DNS, DHCP, VLANs, routing

protocols like OSPF/BGP)

• Experience with NAT, ACLs, IDS/IPS, and security policies
• Familiarity with network monitoring and security tools
• Strong troubleshooting and analytical skills

Preferred Qualifications

• Certifications such as:

o Palo Alto (PCNSA/PCNSE)

o Sophos Certified Engineer

o CCNA / CCNP / Aruba certifications

• Experience in data center or enterprise network environments
• Exposure to cloud networking (AWS/Azure security groups, VPNs)

Soft Skills

• Strong communication and documentation skills
• Ability to work independently and in cross-functional teams
• Proactive approach to security and problem-solving
• Attention to detail and ownership mindset

Work Location: In person

Job Summary

We are looking for a skilled Server Engineer with hands-on experience in Dell and

HPE servers, Linux operating systems, and networking fundamentals. The ideal

candidate will be responsible for maintaining, troubleshooting, and optimizing server

infrastructure to ensure high availability and performance.

Key Responsibilities

Install, configure, and maintain Dell (PowerEdge) and HPE (ProLiant)

servers

Manage and administer Linux-based systems (RHEL, Ubuntu, CentOS, etc.)

Monitor system performance, availability, and security

Troubleshoot hardware, OS, and network-related issues

Perform regular system updates, patches, and backups

Configure and manage RAID, storage, and server components

Work with tools like iDRAC (Dell) and iLO (HPE) for server management

Collaborate with networking teams for connectivity, firewall, and routing issues

Maintain documentation for configurations, processes, and troubleshooting

steps

Ensure compliance with security policies and best practices

Travel to client/data center locations as required for deployment,

maintenance, and troubleshooting

Required Skills & Qualifications

3–4 years of hands-on experience in server administration

Strong experience with Dell and/or HPE servers

Good knowledge of Linux system administration

Understanding of networking concepts (TCP/IP, DNS, DHCP, VLANs,

routing)

Experience with server monitoring tools and logs

Familiarity with virtualization (VMware / KVM) is a plus

Basic scripting knowledge (Bash, Python) is an advantage

Strong troubleshooting and problem-solving skills

Willingness to travel based on project requirements

Preferred Qualifications

Bachelor’s degree in Computer Science, Information Technology, or B.Tech

(or equivalent)

Certifications like RHCSA/RHCE, CompTIA Linux+, or equivalent

Experience with data center operations

Exposure to cloud platforms (AWS/Azure) is a plus

Soft Skills

Good communication and documentation skills

Ability to work independently and in a team

Proactive and detail-oriented

Work Location: In person

· Strategy & Architecture: Collaborate with stakeholders to define end-to-end migration strategies, including data mapping, transformation, and validation rules.

· Technical Execution: Utilize tools like SQL DB, CSV2TCXML, IPS Upload, and ETL tools to migrate CAD and metadata.

· Customization: Develop custom migration solutions using BMIDE (Business Modeler IDE), ITK (Integration Toolkit), and SOA (Service Oriented Architecture).

· Project Leadership: Break down projects into manageable work packages, leading both onsite and offshore teams.

· Validation & Quality: Perform validation checks to ensure data integrity and accuracy post-migration.

· Integration Support: Manage CAD integrations (NX, Inventor, Creo) and PLM integrations (T4S, T4O, T4EA).

Job Title: Microsoft Dynamics Solution Architect

Job Summary

We are looking for an experienced Microsoft Dynamics Solution Architect to design, lead, and deliver scalable solutions using Microsoft Dynamics (D365). The ideal candidate will have strong functional and technical expertise across Dynamics modules, with the ability to translate business requirements into robust system architecture.

Key Responsibilities

• Lead end-to-end solution architecture for Microsoft Dynamics 365 (CRM/ERP) implementations
• Work closely with business stakeholders to understand requirements and design optimal solutions
• Define system architecture, integrations, and data flow between Dynamics and other enterprise systems
• Provide technical leadership to development and functional teams
• Ensure best practices in design, performance, security, and scalability
• Review customizations, plugins, workflows, and integrations
• Support pre-sales activities, solution proposals, and client presentations
• Conduct solution reviews, risk assessments, and provide mitigation strategies
• Stay updated with the latest Microsoft Dynamics features and roadmap

Required Skills & Qualifications

• Strong experience with Microsoft Dynamics 365 (CRM, CE, or F&O)
• Deep understanding of Dynamics architecture, customization, and configuration
• Hands-on experience with Power Platform (Power Apps, Power Automate)
• Expertise in integrations (Azure, APIs, Logic Apps, etc.)
• Experience with data migration and system upgrades
• Strong knowledge of Microsoft ecosystem (Azure, Office 365, Dataverse)
• Excellent problem-solving and stakeholder management skills

Preferred Qualifications

• Microsoft Dynamics certifications (Solution Architect Expert preferred)
• Experience working on large-scale enterprise implementations
• Knowledge of DevOps, CI/CD pipelines, and ALM practices
• Exposure to industry domains like Banking, Healthcare, Government, etc.

Job Title: AWS DevOps Engineer (MLOps)

We are looking for a highly skilled AWS + MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and pipelines on AWS. The ideal candidate will have strong expertise in DevOps practices, cloud architecture, and MLOps frameworks, along with solid Python programming skills.

Job Description:

We are looking for an experienced AWS DevOps Engineer to join our team. You will be responsible for building and optimising CI/CD pipelines, managing AWS infrastructure, and automating tasks using AWS services.

Key Responsibilities:

• CI/CD Pipelines: Develop CI/CD pipelines with AWS CodePipeline, build ECR images, and update services on ECS.
• Automation: Create Python Lambda functions for automation and AWS Batch jobs for GPU processing.
• Infrastructure Management: Manage AWS infrastructure using Terraform (IAM roles, RDS, Lambda, etc.) and deploy microservices on EKS with ALB Ingress.
• Data Processing: Work with AWS Step Functions and EMR for data workflows; troubleshoot Spark jobs.
• Microservices: Deploy ATLAS on ECS, and create AWS Glue crawlers for data integration.
• Strong Experience with MLOps is an added advantage.

Required Skills:

• Experience with AWS services (ECS, ECR, Lambda, Step Functions, EMR, Glue, etc.).
• Proficient in CI/CD, Terraform, and Python scripting.
• Experience deploying EKS clusters and using AWS ALB for routing.
• Strong troubleshooting skills with EMR and Spark.
• Understanding/experience with AWS EMR, Sagemaker and Databricks would be added advantage

Preferred:

• AWS Certification (DevOps, Solutions Architect, etc.).
• Experience with microservices and GPU-intensive processes.

Director of Engineering — Flights Platform

AI-First Travel Commerce · High-Scale Distributed Systems · Marketplace Infrastructure

🌏 The Problem Space

A flight search looks trivially simple. It is anything but.

Every query you fire triggers a choreography of distributed systems operating in real-time — integrating with a dozen airline GDS/NDC providers, computing dynamic fares across inventory buckets and fare rules, ranking thousands of itineraries by relevance and business intent, and returning a ranked, priced, bookable result set — all in under 100ms.

→ Millions of search queries per minute

→ <100ms end-to-end SLA with external API dependencies

→ High-value transactions — a bug here means a missed booking, not a failed render

→ Pricing errors erode trust faster than any other failure mode

We are rebuilding the Flights platform as a real-time commerce engine for Bharat — AI-native from day zero, built to power both B2C consumer journeys and high-stakes B2B enterprise corridors.

This is a once-in-a-decade opportunity to build national-scale flight infrastructure from first principles.

🧠 What You Will Own

You will own the full Flights platform — systems, architecture, and the teams that build them.

Core System Domains:

•Search Systems — high-throughput, low-latency query pipelines returning ranked, bookable options

•Pricing & Fare Engine — dynamic pricing logic, fare rules, promotional overlays, and real-time validation

•Booking & Ticketing — transaction-critical flows requiring strict consistency, idempotency, and zero data loss

•Airline Integrations — managing unreliable external GDS/NDC APIs with retries, circuit-breakers, and reconciliation

•Post-Booking Flows — cancellations, modifications, refunds — correctness at the margin is non-negotiable

Platform Scope:

•High-scale APIs serving consumer apps, B2B enterprise clients, and third-party partners

•Event-driven state machines managing booking workflows across async boundaries

•Observability and reliability infrastructure across all mission-critical flows

Team Scope:

•Lead 15–30+ engineers across multiple product and platform teams

•Manage Engineering Managers and Principal/Staff engineers

•Own hiring, org design, and technical direction

⚙️ Core Engineering Challenges

This role is fundamentally about making the right trade-offs under uncertainty — at scale.

Latency vs. Accuracy — when do you serve a cached fare vs. call a live airline API?

Availability vs. Consistency — graceful degradation at booking time vs. strict price validation

Cost vs. Performance — when is an external API call worth it vs. a cache hit?

Scalability vs. Simplicity — the best system is the one your team can reason about under incident

🤖 AI-First Engineering

AI is not an afterthought. It is load-bearing architecture.

•LLM-powered pricing intelligence — dynamic fare prediction and demand signals

•RAG pipelines for fare rules, refund policy, and support automation

•Agentic booking resolution workflows — autonomous exception handling at scale

•MCP-based orchestration layers for multi-provider integration

⚖️ Key Responsibilities

Architecture & Distributed Systems

•Design and evolve sub-100ms distributed query systems serving millions of concurrent searches

•Build fault-tolerant booking pipelines with strong consistency and durability guarantees

•Drive Kafka-based event architectures for booking state management

Reliability & Observability

•Own 99.99%+ availability for booking and pricing systems

•Build deep observability — metrics, distributed tracing, structured logging, SLOs/SLAs

•Lead post-incident reviews and drive systemic reliability improvements

Business Partnership

•Partner with Product, Revenue, and Partnerships to translate commercial goals into architecture

•Influence platform roadmap, supplier strategy, and long-term technical investment

🛠️ Technology Stack

Backend: Java · Kotlin · Go · Python

Architecture: Microservices · Event-Driven (Kafka) · gRPC

Data: Redis · Aerospike · DynamoDB · Elasticsearch

Cloud: AWS (EKS, EC2, S3)

Observability: Prometheus · Grafana · OpenTelemetry

👤 Who You Are

•12–16 years in backend/distributed systems; 5+ Years in an Engineering Leadership role, led teams of 15–50 engineers

•Built and scaled large B2C + B2B platforms — Travel Tech, FinTech, or high-scale Consumer

•Deep expertise in real-time systems, marketplace dynamics, and external API integration

•Tier-I institute background strongly preferred (IIT / IIIT / NIT / IISC / BITS / VIT / SRM — CSE/ISE)

🚀 Why This Matters

Build national-scale infrastructure for 1.4 billion people

Sit at the intersection of AI · distributed systems · marketplace economics

Define the future of travel commerce in India — from architecture to product

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Strong Engineering Manager / Technical Leadership Profile

Mandatory (Experience 1): Must have 9+ years of experience in software engineering with experience building complex, large-scale products

Mandatory (Experience 2): Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities

Mandatory (Tech Skills 1): Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages (Python, PHP, Ruby, Perl, Node.js), web technologies (HTML, CSS, Javascript), and databases (SQL/NoSQL)

Mandatory (Tech Skills 2): Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices

Mandatory (Leadership & Delivery): Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence

Mandatory (Collaboration): Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners

Mandatory (Communication): Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions

Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies

Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50)

Mandatory (Note 3): Avoid candidates from small startups (<100 employees), MNC, semi fintech like banks, BFSI, and services background

JOB DETAILS:

* Job Title: Engineering Manager

* Industry: Technology

* Salary: Best in Industry

* Experience: 9-12 years

* Location: Bengaluru

* Education: B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Role & Responsibilities

We are seeking a visionary and decisive Engineering Manager to join our dynamic team. In this role, you will lead and inspire a talented team of software engineers, driving innovation and excellence in product development efforts. This is an exciting opportunity to influence and shape the future of our engineering organization.

Key Responsibilities-

As an Engineering Manager, you will be responsible for managing the overall software development life cycle of one product. You will work and manage a cross-functional team consisting of Backend Engineers, Frontend Engineers, QA, SDET, Product Managers, Product Designers, Technical Project Managers, Data Scientists, etc.

• Responsible for mapping business objectives to an optimum engineering structure, including correct estimation of resource allocation.
• Responsible for key technical and product decisions. Provide direction and mentorship to the team. Set up best practices for engineering.
• Work closely with the Product Manager and help them in getting relevant inputs from the engineering team.
• Plan and track the development and release schedules, proactively assess and mitigate risks. Prepare for contingencies and provide visible leadership in crisis.
• Conduct regular 1:1s for performance feedback and lead their appraisals.
• Responsible for driving good coding practices in the team like good quality code, documentation, timely bug fixing, etc.
• Report on the status of development, quality, operations, and system performance to management.
• Create and maintain an open and transparent environment that values speed and innovation and motivates engineers to build innovative and effective systems rapidly.

Ideal Candidate

• Strong Engineering Manager / Technical Leadership Profile
• Must have 9+ years of experience in software engineering with experience building complex, large-scale products
• Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities
• Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages, web technologies, and databases (SQL/NoSQL)
• Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices
• Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence
• Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners
• Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions
• (Company): Product companies
• Must have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Strong Client-Facing Engineering Manager Profile

Mandatory (Experience): Must have 8+ years of engineering experience, with substantial exposure to back-end development, scalable distributed systems, and modern web services

Mandatory (Leadership): Must have 2+ years of experience in people and delivery leadership, owning engineering execution and leading teams to deliver complex products

Mandatory (Client-Facing Experience): Must have proven experience working directly with external stakeholders / clients, translating client requirements into engineering plans and delivering solutions with high customer impact

Mandatory (Technical Skills 1): Must have in-depth experience with Java, Spring, microservices and understanding of Software development lifecycle (SDLC), building reliable, high-performance systems

Mandatory (Technical Skills 2): Strong problem-solving and design capabilities; experience with system design, architecture reviews, and engineering best practices

Mandatory (Tools): Must have expertise in agile methodologies and project management tools

Mandatory (Communication): Excellent written and verbal communication skills, with a track record of presenting technical solutions to both technical and non-technical stakeholders

Mandatory (Cross-Functional Collaboration): Must be skilled in working with product, design, sales, and client teams to drive requirements, delivery, and client success

Mandatory (Execution & Delivery): Demonstrated ability to manage end-to-end delivery, coordinate releases, prioritise effectively, and deliver results in time

Mandatory (Company):Product companies

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science, engineering or a related field from Tier 1, Tier 2 colleges (Master's preferred)

Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies

Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50).

Strong Engineering Manager / Technical Leadership Profile

Mandatory (Experience 1): Must have 9+ years of experience in software engineering with experience building complex, large-scale products

Mandatory (Experience 2): Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities

Mandatory (Tech Skills 1): Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages, web technologies, and databases (SQL/NoSQL)

Mandatory (Tech Skills 2): Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices

Mandatory (Leadership & Delivery): Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence

Mandatory (Collaboration): Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners

Mandatory (Communication): Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions

Mandatory (Company):Product companies

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note): Education can be ignored for candidates with proven experience in strong, reputed product companies

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

10–14 years of experience in software engineering, with strong emphasis on backend and data architecture for large-scale systems.

Proven experience designing and deploying distributed, event-driven systems and streaming data pipelines.

Expert proficiency in Go/Python, including experience with microservices, APIs, and concurrency models.

Deep understanding of data flows across multi-sensor and multi-modal sources, including ingestion, transformation, and synchronization.

Experience building real-time APIs for interactive web applications and data-heavy workflows.

Familiarity with frontend ecosystems (React, TypeScript) and rendering frameworks leveraging WebGL/WebGPU.

Hands-on experience with CI/CD, Kubernetes, Docker, and Infrastructure as Code (Terraform, Helm).

Strong staff engineer profile

Mandatory (Experience 1): Must have 9+ years in backend engineering with Java, Spring/Spring Boot, and microservices building large and schalable systems

Mandatory (Experience 2): Must have been SDE-3 / Tech Lead / Lead SE for at least 2.5 years

Mandatory (Tech skills 1): Strong in DSA, system design, design patterns, and problem-solving

Mandatory (Tech skills 2): Proven experience building scalable, reliable, high-performance distributed systems

Mandatory (Tech skills 3): Hands-on with SQL/NoSQL databases, REST/gRPC APIs, concurrency & async processing

Mandatory (Tech skills 4): Experience in AWS/GCP, CI/CD pipelines, and observability/monitoring

Mandatory (Communication): Excellent ability to explain complex technical concepts to varied stakeholders

Mandatory (Company): Product companies (B2B SAAS preferred)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science from Tier 1, Tier 2 colleges

ROLE - TECH LEAD/ARCHITECT with AI Expertise

Experience: 10–15 Years

Location: Bangalore (Onsite)

Company Type: Product-based | AI B2B SaaS

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview

We are looking for a Tech Lead / Architect to drive the end-to-end technical design and

development of AI-powered B2B SaaS products. This role requires a strong hands-on

technologist who can work closely with ML Engineers and Full Stack Development teams,

own the product architecture, and ensure scalability, security, and compliance across the

platform.

Key Responsibilities

• Lead the end-to-end architecture and development of AI-driven B2B SaaS products

• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to

integrate AI/ML models into production systems

• Define and own the overall product technology stack, including backend, frontend,

data, and cloud infrastructure

• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS

platforms

• Drive cloud-native deployments (Azure) using modern DevOps and CI/CD practices

• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.)

across the product

• Take ownership of application security, access controls, and compliance

requirements

• Actively contribute hands-on through coding, code reviews, complex feature development and architectural POCs

• Mentor and guide engineering teams, setting best practices for coding, testing, and

system design

• Work closely with Product Management and Leadership to translate business

requirements into technical solutions

Qualifications:

• 10–15 years of overall experience in software engineering and product

development

• Strong experience building B2B SaaS products at scale

• Proven expertise in system architecture, design patterns, and distributed systems

• Hands-on experience with cloud platforms (Azure, AWS/GCP)

• Solid background in backend technologies (Python/ .NET / Node.js / Java) and

modern frontend frameworks like (React, JS, etc.)

• Experience working with AI/ML teams in deploying and tuning ML models into production

environments

• Strong understanding of data security, privacy, and compliance frameworks

• Experience with microservices, APIs, containers, Kubernetes, and cloud-native

architectures

• Strong working knowledge of CI/CD pipelines, DevOps, and infrastructure as code

• Excellent communication and leadership skills with the ability to work cross-

functionally

• Experience in AI-first or data-intensive SaaS platforms

• Exposure to MLOps frameworks and model lifecycle management

• Experience with multi-tenant SaaS security models

• Prior experience in product-based companies or startups

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven Technical Lead with a passion for developing innovative products that drives business growth, we invite you to join our dynamic team at ProductNova.

JOB DETAILS:

Job Role: Engineering Manager (Web and Mobile Apps)

Industry: Healthcare

Function: Information Technology

Working Day: 5

Work Mode: ONSITE

Salary: Best in Industry

Experience: 7-10 years

Location: Vadodara & Bangalore

Required Skills: Cross-Functional Collaboration, Engineering Leadership & Team Management, Hands-on Web & Mobile Development, End-to-End Delivery Ownership, Technical Quality & Best Practices

Criteria:

• Bachelor’s degree in Computer Science or a related discipline.
• Should have 7+ years of overall engineering experience.
• Should have minimum 2 years of experince in a leadership role.
• Hands-on experience leading web and mobile product development
• Strong expertise in web technologies (React, Node.js) and mobile platforms (Flutter / iOS / Android)
• Proven experience owning end-to-end product delivery (development, deployment, maintenance)
• Experience with agile execution — sprint planning, delivery tracking, release management
• Deep understanding of code quality, testing, security, scalability, and best practices
• Active involvement in code reviews and design reviews
• Strong cross-functional collaboration with Product and Design teams
• Excellent communication and stakeholder management skills

NOTE: - 1st Priority Vadodara

Description

Role Overview:

Responsible for overseeing the successful delivery of company’s traditional web and mobile product roadmap by leading a team of engineers. The manager ensures timely feature launches, technical quality, and champions process improvements in collaboration with product and design teams.

Key Responsibilities:

● Own end-to-end development, deployment, and maintenance of web and mobile applications.

● Lead, mentor, and grow engineers across full stack, mobile, and backend roles.

● Define and implement best practices in coding, testing, and release management.

● Collaborate with cross-functional teams to incorporate user feedback and business needs into product enhancements.

● Track and manage team performance, sprint planning, and delivery schedules.

● Ensure high quality standards, security, and scalability across all deliverables.

● Actively participate in code and design reviews.

Qualifications:

● Bachelor’s in Computer Science or related field.

● 7+ years of engineering experience with at least 2 years in a leadership role.

● Hands-on expertise in web (React/Node.js) and mobile (Flutter/iOS/Android) platforms.

● Strong project management and team leadership skills.

● Excellent communication and stakeholder management abilities.

Review Criteria:

Mandatory:

• Strong Engineering Manager / Lead Profiles
• Must have 8+ years of overall Software Engineering/Development experience
• Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management
• Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)
• Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS
• Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.
• Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality
• Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred
• This role will be 80% team management and 20% IC (hands on coding required)

Preferred:

• Tier 1 engineering college

Role & Responsibilities:

We’re looking for an Engineering Manager who treats engineering management as a systems problem, not a career milestone.

You’ll lead engineers while staying close to the technical core—owning architecture, modeling decisions, and execution quality in a domain where correctness matters as much as velocity.

Technical & Product Ownership:

• Build and evolve core platform features

Design and ship APIs, services, and integrations that power billing automation, usage metering, invoicing, revenue recognition, and financial reporting.

• Model complex financial workflows

Work deeply on pricing logic, proration, true-ups, multi-currency handling, approval workflows, and event-driven billing pipelines—where small decisions have long-term consequences.

• Make architectural trade-offs

Balance “ship it now” against “live with it forever” while scaling systems that process high-volume usage data and real-time financial calculations.

• Stay technically fluent

You won’t write code every day, but you’ll review PRs, catch subtle bugs, and guide design discussions with confidence.

Team Leadership & Management:

• Lead and grow the engineering team

Mentor and manage engineers across experience levels, setting clear expectations and raising the bar on ownership, execution, and quality.

• Create high-output systems

Establish clear problem definitions, focused execution cycles, code reviews that actually catch issues, and enough slack for engineers to think—not just ship.

• Debug team dynamics like software

Observe signals, form hypotheses, intervene deliberately, and measure outcomes—whether the issue is delivery, alignment, or collaboration.

• Build the team intentionally

Design interviews that surface real problem-solving ability, not just pattern matching. At this stage, every hire shifts the average.

Cross-Functional Collaboration:

• Work closely with Product, Finance, and Customer Success to translate real-world contract terms into correct, scalable systems
• Partner with stakeholders to solve ambiguous problems where requirements evolve and trade-offs are unavoidable
• Ensure systems remain accurate, auditable, and compliant as the product scales

Ideal Candidate:

• Must have 8+ years of engineering experience, with 3+ years leading teams or owning technical direction
• You’ve built systems where the hardest part was correctly modeling messy, real-world business logic
• You default to first principles when no documented solution exists
• You’ve grown engineers by giving them problems slightly beyond their comfort zone—and supported them through productive struggle
• You’re energized by constraints, ambiguity, and unsolved problems
• Billing, fintech, or payments experience is a plus—but curiosity and depth of thinking matter more than domain checkboxes

You Should Not Apply If:

• You need a fully defined problem before you can start working
• You moved into management to avoid technical complexity
• You optimize for process over outcomes
• You find edge cases annoying rather than interesting

Nice to Have:

• Experience with financial systems, billing platforms, or fintech applications
• Knowledge of SaaS business models and compliance frameworks
• API design and integration experience
• Prior experience working at a startup
• Not taking yourself too seriously.

Perks, Benefits and Work Culture:

• Variable: Based on performance
• ESOPs (for full time roles)
• Remote (USA)

Benefits (for full-time roles):

• Health insurance
• Generous vacation policy
• Learning and development budget
• Team events and company offsites
• Maternity and Paternity benefits
• Company Laptop
• Friday game nights 

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

Job Title : Product Manager (Tech-to-PM | Ground-Up Product) 

Location : Bangalore, India (On-site)

Type: Full-time

Company Overview -.About the Company You will join BIGAIRLAB (https://www.bigairlab.com/)(part of a group of companies) at a critical pilot-to-scale phase of our product journey. We are a lean, high-growth technology & AI venture, building enterprise and consumer-facing AI products across India, UAE, and the US.

 As we move from prototype to scalable product, we are looking for a hands-on Product Manager who was a developer until recently and transitioned into Product Management in the last 1–2 years. This role requires strong technical depth, the ability to think like an engineer, and the mindset of a product owner who can drive clarity, execution, and rapid iteration.

Key Responsibilities

 • Own and drive the end-to-end product lifecycle: ideation, requirements, MVP definition, development, launch, iteration, and scale.

 • Define product vision, roadmap, and priorities in close partnership with founders and key stakeholders.

 • Translate business and customer needs into clear product requirements, user stories, acceptance criteria, and backlog prioritization.

 • Work deeply with engineering teams (frontend, backend, QA, AI/ML, and UI/UX) to ensure feasibility, quality, and timely delivery.

 • Leverage your prior developer experience to review technical approaches, understand architecture trade-offs, APIs, data flows, and performance constraints.

• Act as the bridge between business and engineering—ensuring clarity, speed, and alignment, especially during the pilot phase.

 • Define, track, and improve product metrics and KPIs (usage, adoption, performance, user feedback, reliability).

 • Drive agile execution: sprint planning, reviews, backlog grooming, and release planning.

• Collaborate with stakeholders across business, operations, sales, and customer teams to manage expectations and ensure alignment.

 • Support go-to-market activities including documentation, release notes, and early customer feedback loops.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science / Engineering or equivalent technical discipline.

• Strong prior experience as a software developer, with a transition into a Product Manager role within the last 1–2 years.

• Hands-on understanding of both frontend and backend systems:

     ◦ Frontend: modern web frameworks, UX considerations, performance tradeoffs.

     ◦ Backend: APIs, databases, system architecture, integrations, scalability.

• Ability to comfortably deep-dive with engineers and challenge or validate technical decisions.

• Working knowledge of AI/ML-driven products, data pipelines, or LLM-based systems is a strong plus.

• Experience working in startup or early-stage environments, preferably on products built from the ground up.

• Strong analytical and problem-solving skills; data-driven approach to decisionmaking.

• Excellent communication skills—able to articulate technical concepts to nontechnical stakeholders.

• Comfortable with ambiguity, rapid change, and wearing multiple hats.

 Desirable / Nice-to-Have

• Exposure to SaaS, enterprise B2B, or AI-first products.

• Experience working with or building products for India and/or Middle East (UAE) markets.

• MBA or formal product management training is a plus (but not mandatory).

 Ideal Candidate Profile

• A former engineer turned Product Manager, still close to the code and deeply technical.

• Someone who enjoys building from zero to one, not just optimizing mature products.

• Comfortable switching between strategy and execution, vision and detail.

• Collaborative, decisive, and ownership-driven.

• Motivated by impact, learning, and growth rather than rigid role boundaries.

What We Offer

• Opportunity to play a foundational role in shaping a core product and company direction.

• High ownership, visibility, and direct collaboration with founders.

• Exposure to global markets (India, UAE, US).

• Competitive compensation with base + performance bonus + equity/ESOPs. • Fast-paced environment with real responsibility and rapid learning.  

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Position Overview

We are looking for an experienced Implementation Lead with deep expertise in financial workflows, R2R processes, and treasury operations to drive client onboarding and end-to-end implementations. The ideal candidate will bring a strong Commerce / MBA Finance background, proven project management experience, and technical skills in SQL and ETL to ensure seamless deployments for fintech and financial services clients.

Key Responsibilities

• Lead end-to-end implementation projects for enterprise fintech clients
• Translate client requirements into detailed implementation plans and configure solutions accordingly.
• Write and optimize complex SQL queries for data analysis, validation, and integration
• Oversee ETL processes – extract, transform, and load financial data across systems
• Collaborate with cross-functional teams including Product, Engineering, and Support
• Ensure timely, high-quality delivery across multiple stakeholders and client touchpoints
• Document processes, client requirements, and integration flows in detail.
• Configure and deploy Bluecopa solutions for R2R, treasury, and reporting workflows.

Required Qualifications

• Bachelor’s degree Commerce background / MBA Finance (mandatory).
• 3+ years of hands-on implementation/project management experience
• Proven experience delivering projects in Fintech, SaaS, or ERP environments
• Strong expertise in accounting principles, R2R (Record-to-Report), treasury, and financial workflows.
• Hands-on SQL experience, including the ability to write and debug complex queries (joins, CTEs, subqueries)
• Experience working with ETL pipelines or data migration processes
• Proficiency in tools like Jira, Confluence, Excel, and project tracking systems
• Strong communication and stakeholder management skills
• Ability to manage multiple projects simultaneously and drive client success

Preferred Qualifications

• Prior experience implementing financial automation tools (e.g., SAP, Oracle, Anaplan, Blackline)
• Familiarity with API integrations and basic data mapping
• Experience in agile/scrum-based implementation environments
• Exposure to reconciliation, book closure, AR/AP, and reporting systems
• PMP, CSM, or similar certifications

Skills & Competencies

Functional Skills

• Financial process knowledge (e.g., reconciliation, accounting, reporting)
• Business analysis and solutioning
• Client onboarding and training
• UAT coordination
• Documentation and SOP creation

Project Skills

• Project planning and risk management
• Task prioritization and resource coordination
• KPI tracking and stakeholder reporting

Soft Skills

• Cross-functional collaboration
• Communication with technical and non-technical teams
• Attention to detail and customer empathy
• Conflict resolution and crisis management

What We Offer

• An opportunity to shape fintech implementations across fast-growing companies
• Work in a dynamic environment with cross-functional experts
• Competitive compensation and rapid career growth
• A collaborative and meritocratic culture

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 12+ years of overall experience in IT, with a minimum of 4 years in an Architect role specifically architecting web applications.
• Deep expertise in the Microsoft .NET ecosystem, including .NET Core/.NET 5+, C#, ASP.NET Core, and Web API.
• Extensive experience in designing and implementing microservices architectures and distributed systems.
• Strong proficiency in SQL Server, including database design, T-SQL, query optimization, and performance tuning.
• Proven experience with architectural patterns such as MVC, MVVM, and clean architecture.
• Solid understanding of object-oriented programming (OOP) principles and design patterns (GoF, enterprise patterns).
• Experience with RESTful API design and development.
• Familiarity with version control systems (e.g., Git).
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Preferred Skills (Nice to Have):

• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and related services.
• Exposure to containerization technologies (Docker) and orchestration tools (Kubernetes).
• Experience with message brokers (e.g., RabbitMQ, Kafka, Azure Service Bus).
• Familiarity with modern frontend frameworks (Angular, React, Vue.js).
• Knowledge of DevOps tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI).
• Experience with Agile methodologies (Scrum, Kanban).
• Relevant Microsoft certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert).